code: def normalized(X, axis=None):
      X_copy = X.copy()
      normalize(X_copy, axis=axis)
      return X_copy
  
file_path: hmmlearn/lib/hmmlearn/tests/__init__.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_spd_matrix
  from sklearn.utils import check_random_state
  from hmmlearn.utils import normalize
  from hmmlearn.base import DECODER_ALGORITHMS
label_desc: Use image node_id 2 for calling a global function with example usage: normalized(X, axis) and returns: X_copy